Academic literature on the topic 'Computational dosimetry'

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Journal articles on the topic "Computational dosimetry"

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Siebert, B. R. L., and R. H. Thomas. "Computational Dosimetry." Radiation Protection Dosimetry 70, no. 1 (1997): 371–78. http://dx.doi.org/10.1093/oxfordjournals.rpd.a031980.

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Akhavanallaf, Azadeh, Hadi Fayad, Yazdan Salimi, et al. "An update on computational anthropomorphic anatomical models." DIGITAL HEALTH 8 (January 2022): 205520762211119. http://dx.doi.org/10.1177/20552076221111941.

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The prevalent availability of high-performance computing coupled with validated computerized simulation platforms as open-source packages have motivated progress in the development of realistic anthropomorphic computational models of the human anatomy. The main application of these advanced tools focused on imaging physics and computational internal/external radiation dosimetry research. This paper provides an updated review of state-of-the-art developments and recent advances in the design of sophisticated computational models of the human anatomy with a particular focus on their use in radiation dosimetry calculations. The consolidation of flexible and realistic computational models with biological data and accurate radiation transport modeling tools enables the capability to produce dosimetric data reflecting actual setup in clinical setting. These simulation methodologies and results are helpful resources for the medical physics and medical imaging communities and are expected to impact the fields of medical imaging and dosimetry calculations profoundly.
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Vieira, José Wilson, Viriato Leal Neto, Pedro Henrique Avelino de Andrade, et al. "Exposure computational models with voxel phantoms coupled to EGSnrc Monte Carlo code." Brazilian Journal of Radiation Sciences 11, no. 1A (Suppl.) (2023): 1–17. http://dx.doi.org/10.15392/2319-0612.2023.2157.

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In computational dosimetry of ionizing radiation, the energy deposited in radiosensitive organs and tissues is evaluated when an anthropomorphic simulator (phantom) is irradiated using Exposure Computational Models (ECMs). An ECM is a virtual scene with a phantom positioned mathematically relative to a radioactive source. The initial state includes information like the type of primary particle, its energy, starting point coordinates, and direction. Subsequently, robust Monte Carlo (MC) codes are used to simulate the particle's mean free path, interaction with the medium's atoms, and energy deposition. These are common steps for simulations involving photons and/or primary electrons. The GDN (Research Group on Numerical Dosimetry and the Research Group on Computational Dosimetry and Embedded Systems) has published ECMs with voxel phantoms irradiated by photons using the MC code EGSnrc. This work has led to specific computational tools development for various numerical dosimetry stages, including input file preparation, ECM execution, and result analysis. Since 2004, the GDN developed in-house applications like FANTOMAS, CALDose_X, DIP, and MonteCarlo. Certain previously used phantoms are reintroduced to provide historical context in the ECMs' production timeline, emphasizing additive modifications inherent in systematic theme studies. The dosimetric evaluations used the binary version of the MASH (Male Adult mesh) phantom, converted to the SID (Dosimetric Information System) text file type. This format has been used by the group since 2021 to couple a voxel phantom to the EGSnrc user code. The ECM included an environmental dosimetry problem simulation. Most of these tools are accessible on the GDN page (http://dosimetrianumerica.org).
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Manahan, Michael. "Dosimetry data from fuel channel clips for benchmarking a new computational fluid dynamics model in neutron transport." EPJ Web of Conferences 278 (2023): 02001. http://dx.doi.org/10.1051/epjconf/202327802001.

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Accurate neutron transport models for BWRs are needed to characterize neutron damage to the top guide, top guide cylinder, vessel nozzles, and to other upper internals. In the past, neutron transport calculations above top-of-active-fuel (TAF) have had large uncertainties (well in excess of ± 20%) mainly due to the fact that the steam density distribution in that region is not well known. An advanced three-dimensional (3D) neutron transport model, which incorporates computational fluid dynamics (CFD) in the code suite, has been developed. Retrospective dosimetry measurements were made to benchmark the transport results. Six fuel channel clips were removed from the top of the fuel bundles, and small disk-shaped dosimetry samples were cut from the clips. The cuts were made through the Inconel spring and through the stainless steel clip body. The clips were selected from bundles that cover regions of low, intermediate, and high steam density. The average C/M ratio for the 10 dosimeters is 1.06. It has been shown that all of the calculated dosimeter activities fall within ± 20% of the measurement. This meets the criterion set by RG 1.190 [1] for acceptability of the calculations.
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Bardiès, M., and M. J. Myers. "Computational methods in radionuclide dosimetry." Physics in Medicine and Biology 41, no. 10 (1996): 1941–55. http://dx.doi.org/10.1088/0031-9155/41/10/007.

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Bianco, Davide, Carmela Nappi, Leandra Piscopo, et al. "Initial Testing of an Approximated, Fast Calculation Procedure for Personalized Dosimetry in Radionuclide Therapy Based on Planar Whole-Body Scan and Monte-Carlo Specific Dose Rates from the OpenDose Project." Life 12, no. 9 (2022): 1303. http://dx.doi.org/10.3390/life12091303.

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Individualized dosimetry in nuclear medicine is currently at least advisable in order to obtain the best risk–benefit balance in terms of the maximal dose to lesions and under-threshold doses to radiosensitive organs. This article aims to propose a procedure for fast dosimetric calculations based on planar whole-body scintigraphy (WBS) images and developed to be employed in everyday clinical practice. Methods: For simplicity and legacy reasons, the method is based on planar imaging dosimetry, complemented with some assumptions on the radiopharmaceutical kinetics empirically derived from single-photon emission tomography/computed tomography (SPECT/CT) image analysis. The idea is to exploit a rough estimate of the time-integrated activity as has been suggested for SPECT/CT dosimetry but using planar images. The resulting further reduction in dose estimation accuracy is moderated by the use of a high-precision Monte-Carlo S-factor, such as those available within the OpenDose project. Results: We moved the problem of individualized dosimetry to a transformed space where comparing doses was imparted to the ICRP Average Male/Female computational phantom, resulting from an activity distribution related to patient’s pharmaceutical uptake. This is a fast method for the personalized dosimetric evaluation of radionuclide therapy, bearing in mind that the resulting doses are meaningful in comparison with thresholds calculated in the same framework. Conclusion: The simplified scheme proposed here can help the community, or even the single physician, establish a quantitative guide-for-the-eye approach to individualized dosimetry.
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Solovskoy, Aleksandr Sergeevich. "Development of principles of electromagnetic environment control taking into account dosimetric parameters." Oil and gas technologies and environmental safety 2023, no. 1 (2023): 72–79. http://dx.doi.org/10.24143/1812-9498-2023-1-72-79.

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The article considers a possibility of improving the methods of controlling the electro-magnetic environment subject to additional parameters. There has been conducted analysis of the Russian and international standards on hygienic regulation of electromagnetic fields to reveal the parameters characterizing the interaction between the energy of an electromagnetic field and biological objects. A specific absorbed rate and a specific absorbed energy are quantitative characteristics of the interaction of electromagnetic fields with biological objects. The biological effects of electromagnetic radiation on the biological objects are considered. A promising direction for ensuring safety from the effects of electromagnetic radiation is a comprehensive methodology of monitoring and visualizing the electromagnetic environment. To improve the principles of monitoring the electromagnetic environment there have been considered the methods of dosimetry of electromagnetic fields of the radio frequency range. Theoretical dosimetry methods are based on the use of anatomically realistic computer models of typical biological objects, taking into account the values of electrical properties for different simulated biological tissues in the models. There have been shown the advantages and disadvantages of theoretical dosimetry methods based on computational methods: the finite element method, method of moments, multipolar method, hybrid methods and analytically based methods. Experimental dosimetry consists in direct measurement of the magnitude of the electromagnetic field energy of the emitting object. A modern system of experimental dosimetry of electromagnetic radiation for assessing the dosimetric parameters of the absorbed electromagnetic field energy is presented including measuring probes, a probe positioning system, a testing system, a method for measuring parameters, as well as a control and data processing system. The conducted research makes it possible to identify theoretical and experimental methods of dosimetry that can be used to control the electromagnetic environment, taking into account dosimetric parameters.
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Cvetkovic, Mario, Hrvoje Dodig, and Dragan Poljak. "On some computational aspects for electromagnetic-thermal dosimetry of mm waves." Journal of Physics: Conference Series 2766, no. 1 (2024): 012193. http://dx.doi.org/10.1088/1742-6596/2766/1/012193.

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Abstract This work is on the use of a state-of-the-art hybrid boundary element method/finite element method (BEM/FEM) for electromagnetic (EM) dosimetry and the coupled thermal dosimetry model based on the Pennes’ heat transfer equation (PHE) for biological tissue solved by means of FEM. The distribution of the induced electric field obtained in both homogeneous and non-homogeneous human head models using EM model is used as a distributed heat source in the piecewise homogeneous human head thermal dosimetry model. As the penetration depth is inversely proportional to the frequency of incident EM wave, we consider the heating depth in several human head models, to illuminate whether homogeneous models in the EM part of the model are pertinent in the thermal dosimetry part. If confirmed, the results could be found useful in standardisation efforts related to the assessment of human exposure to EM fields in the high frequency range.
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Riley, K. J., P. J. Binns, O. K. Harling, et al. "An international dosimetry exchange for BNCT Part II: Computational dosimetry normalizations." Medical Physics 35, no. 12 (2008): 5419–25. http://dx.doi.org/10.1118/1.3005480.

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Denisova, N. V. "Computational Phantoms for Medical Radiology." MEDICAL RADIOLOGY AND RADIATION SAFETY 67, no. 6 (2022): 51–61. http://dx.doi.org/10.33266/1024-6177-2022-67-6-51-61.

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This paper provides a brief overview of the computational anthropomorphic phantoms development for research in medical imaging, radiation dosimetry and radiotherapy planning. In medical radiology, clinical research methods are limited due to the radiation exposure of patients, volunteers and researchers, so great efforts are directed to the development of a mathematical modeling method. Computational phantoms are used in simulation as virtual patients. This new way of research in medicine opens up huge opportunities in the development of high technologies. Over the past decade, several leading groups have formed in the world that have licensed families of named anthropomorphic phantoms for radiation dosimetry and radiation therapy. The review considers the work of almost all major developers of computational phantoms in the world and in Russia. Particular attention is paid to the development of computational phantoms for research in the field of medical imaging (SPECT, PET).
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Dissertations / Theses on the topic "Computational dosimetry"

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Fiorini, Francesca. "Experimental and computational dosimetry of laser-driven radiation beams." Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3371/.

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Laser-driven particle acceleration is an area of increasing research interest given the recent development of short pulse high intensity lasers. A significant difficulty in this field is given by the exceptionally large instantaneous dose rates which such particle beams can produce. This represents a challenge for standard dosimetry techniques and more sophisticated procedures need to be explored. In this thesis I present novel detection and characterisation methods using a combination of GafChromic films, TLD chips, nuclear activation and Monte Carlo simulations, applicable to laser-driven beams. Part of the work is focused on the detection of laserdriven protons used to irradiate V79 cells in order to determine the feasibility of laser-driven proton therapy. A dosimetry method involving GafChromic films and numerical simulations has been appositely developed and used to obtain cell survival results, which are in agreement with those obtained by conventionally accelerated proton beams. Another part is dedicated to the detection and characterisation of laser-driven electron and X-ray beams. An innovative simulation method to obtain the temperature of the electrons accelerated by the laser, and predict the subsequently generated X-ray beam, has been developed and compared with the acquired experimental data.
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Li, Xiang. "Computational analysis of ultraviolet reactors /." Online version of thesis, 2009. http://hdl.handle.net/1850/11175.

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Chigurupati, Swapna. "A computational method for internal radiation dosimetry at the voxel level." FIU Digital Commons, 2003. http://digitalcommons.fiu.edu/etd/2330.

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The current development of hybrid SPECT/CT and PET/CT systems allows not only accurate attenuation correction of images, but also provide an anatomical frame for the 3D spatial representation of the dose distribution. The main goal of this thesis project was to develop computational algorithms for calculation of the 3D dose distribution delivered by internal emitters based on the images and information provided by new hybrid SPECT/CT and PET/CT systems. Although many experimental problems exist in patient-specific dosimetry, current drawback is the lack of radionuclide voxel S values for the set of all possible combinations of cubical and non-cubical pixel edges and thickness used in SPECT and PET studies. This work presents an alternative and computationally efficient method for calculating voxel S values based on the Monte Carlo volume integration of tabulated dose point-kernels of beta emissions over a voxel-to-voxel geometry. The accuracy of the calculations was compared with those determined by direct Monte Carlo radiation transport simulation.
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Wayson, Michael B. "Complete internal photon dosimetry characterization of the University of Florida newborn hybrid computational phantoms." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0041356.

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Chytyk-Praznik, Krista. "Dosimetric verification of radiation therapy including intensity modulated treatments, using an amorphous-silicon electronic portal imaging device." American Institute of Physics Publishing, 2006. http://hdl.handle.net/1993/5287.

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Radiation therapy is continuously increasing in complexity due to technological innovation in delivery techniques, necessitating thorough dosimetric verification. Comparing accurately predicted portal dose images to measured images obtained during patient treatment can determine if a particular treatment was delivered correctly. The goal of this thesis was to create a method to predict portal dose images that was versatile and accurate enough to use in a clinical setting. All measured images in this work were obtained with an amorphous silicon electronic portal imaging device (a-Si EPID), but the technique is applicable to any planar imager. A detailed, physics-motivated fluence model was developed to characterize fluence exiting the linear accelerator head. The model was further refined using results from Monte Carlo simulations and schematics of the linear accelerator. The fluence incident on the EPID was converted to a portal dose image through a superposition of Monte Carlo-generated, monoenergetic dose kernels specific to the a-Si EPID. Predictions of clinical IMRT fields with no patient present agreed with measured portal dose images within 3% and 3 mm. The dose kernels were applied ignoring the geometrically divergent nature of incident fluence on the EPID. A computational investigation into this parallel dose kernel assumption determined its validity under clinically relevant situations. Introducing a patient or phantom into the beam required the portal image prediction algorithm to account for patient scatter and attenuation. Primary fluence was calculated by attenuating raylines cast through the patient CT dataset, while scatter fluence was determined through the superposition of pre-calculated scatter fluence kernels. Total dose in the EPID was calculated by convolving the total predicted incident fluence with the EPID-specific dose kernels. The algorithm was tested on water slabs with square fields, agreeing with measurement within 3% and 3 mm. The method was then applied to five prostate and six head-and-neck IMRT treatment courses (~1900 clinical images). Deviations between the predicted and measured images were quantified. The portal dose image prediction model developed in this thesis work has been shown to be accurate, and it was demonstrated to be able to verify patients’ delivered radiation treatments.
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Sánchez, Parcerisa Daniel [Verfasser], and Katia [Akademischer Betreuer] Parodi. "Experimental and computational investigation of water-to-air stopping power ratio for ion chamber dosimetry in carbon ion radiotherapy / Daniel Sánchez Parcerisa ; Betreuer: Katia Parodi." Heidelberg : Universitätsbibliothek Heidelberg, 2012. http://d-nb.info/1179785762/34.

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Popov, G. F., S. I. Savan, R. V. Lazurik, and A. V. Pochynok. "Selection of calculation methods for the analysis of absorbed depth-dose distributions of electron beams." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/46936.

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The work is dedicated to comparison methods of processing the results of measurements of the absorbed depth-dose distributions (DDD) of the electron radiation to determine the practical range of electrons. The sets of test data were obtained by modeling the DDD with use Monte Carlo method. The accuracy of the calculation method is determined by the mean square error of processing results the sets of test data. In the paper it was performed the comparison of computational methods of processing the measurement results that differs in the sizes of the array of data being processed and types of functions which use for approximation the data. Comparison the accuracy methods is base for the recommendations on the selection of computational methods for determining the practical range of electrons for computational dosimetry of electron radiation.
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Ximenes, Edmir. ""Modelagem computacional do manequim matemático da mulher brasileira para cálculos de dosimetria interna e para fins de comparação das frações absorvidas específicas com a mulher referência"." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/85/85131/tde-11062007-134946/.

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Tanto em Medicina Nuclear como em outras aplicações científicas as ferramentas para cálculos dosimétricos são de suma importância para atender os princípios básicos de proteção radiológica. Este trabalho desenvolve o manequim matemático da mulher brasileira, para ser usado como base em cálculos das Frações Absorvidas Específicas (FAEs) nos órgãos do corpo e no esqueleto, em virtude dos objetivos com relação à diagnose ou à terapia em Medicina Nuclear. O manequim ora desenvolvido é similar, na forma, ao manequim de Snyder tornando-o mais realístico para as condições antropomórficas da mulher brasileira. Para isso, utilizou-se o formalismo do método Monte Carlo, através do código computacional ALGAM-97®. Como contribuição aos objetivos deste trabalho, foi desenvolvido e implementado o sistema computacional cFAE – consulta Fração Absorvida Específica, que se torna mais versátil para a consulta do usuário pesquisador. A interface de diálogo com o operador foi projetada seguindo a atual tendência de utilização de uma linguagem orientada para o evento. Essa interface permite que o usuário navegue através dos manequins referência, escolha o órgão fonte, a energia desejada e receba as respostas num diálogo eficiente e intuitivo. O sistema fornece, além dos dados referentes à mulher brasileira, também aqueles referentes ao modelo de Snyder e ao modelo do homem brasileiro. O sistema possibilita não apenas introduzir os dados individuais para as FAEs dos três manequins, mas também a comparação entre eles.<br>Tools for dosimetric calculations are of the utmost importance for the basic principles of radiological protection, not only in nuclear medicine, but also in other scientific calculations. In this work a mathematical model of the Brazilian woman is developed in order to be used as a basis for calculations of Specific Absorbed Fractions (SAFs) in internal organs and in the skeleton, in accord with the objectives of diagnosis or therapy in nuclear medicine. The model developed here is similar in form to that of Snyder, but modified to be more relevant to the case of the Brazilian woman. To do this, the formalism of the Monte Carlo method was used by means of the ALGAM- 97® computational code. As a contribution to the objectives of this thesis, we developed the computational system cSAF – consultation for Specific Absorbed Fractions (cFAE from Portuguese acronym) - which furnishes several “look-up” facilities for the research user. The dialogue interface with the operator was planned following current practices in the utilization of event-oriented languages. This interface permits the user to navigate by means of the reference models, choose the source organ, the energy desired, and receive an answer through an efficient and intuitive dialogue. The system furnishes, in addition to the data referring to the Brazilian woman, data referring to the model of Snyder and to the model of the Brazilian man. The system makes available not only individual data to the SAFs of the three models, but also a comparison among them.
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Moignier, Alexandra. "Dosimétrie cardiovasculaire à l’aide de fantômes numériques hybrides en radiothérapie externe." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112309/document.

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Les atteintes cardiovasculaires consécutives à la radiothérapie font partie des effets secondaires tardifs soulevant de nombreuses interrogations au sein de la communauté scientifique, notamment du point de vue de la relation dose-Effet et des effets concomitants d’autres facteurs de risque (chimiothérapie, cholestérol, âge, tension artérielle,…). Les coronaropathies post-Radiques sont une des principales causes de morbidité cardiaque. Cependant, l’étude des doses reçues par les coronaires lors d’une radiothérapie requiert des approximations importantes, notamment d’un point de vue morphologique. Pour les études rétrospectives avec des dossiers médicaux anciens, les informations anatomiques sont réduites à des radiographies orthogonales et quelques contours au simulateur. Pour les dossiers médicaux plus récents, l’utilisation de l’imagerie scanner pour la planification de traitement permet la considération d’une anatomie 3D, toutefois extrêmement limitée pour les coronaires en raison d’une résolution et d’un contraste trop faibles. Par ailleurs, lors de la planification de traitement des patients traités actuellement, les doses reçues par les artères coronaires sont rarement quantifiées en clinique, et quand elles le sont, c’est au moyen d’une segmentation par a priori anatomique. Ce travail de thèse propose une utilisation originale des fantômes numériques hybrides afin d’étudier les doses aux coronaires dans le cadre de radiothérapies du sein gauche et du lymphome de Hodgkin.Au cours de la thèse, une méthode d’insertion de fantômes numériques hybrides au format DICOM dans le système de planification de traitement a été développée et validée. Elle a été adaptée et testée avec des informations anatomiques limitées aux radiographies comme c’est le cas pour les dossiers médicaux anciens, pour des traitements du sein gauche.La méthode a également été adaptée pour effectuer des reconstructions dosimétriques précises aux artères coronaires de patients traités par radiothérapie pour un lymphome de Hodgkin médiastinal, ayant bénéficié d’un suivi cardiovasculaire incluant le diagnostic de sténoses coronariennes à l’aide d’un coroscanner. Par une étude cas-Témoin, le risque de sténoses à un segment d’artère coronaire donné a été évalué comme étant multiplié par 1,049 à chaque Gray aditionnel sur la dose médiane au segment d’artère coronaire.Pour les dossiers actuels, les incertitudes associées à l’approche de segmentation par a priori anatomique des artères coronaires ont été estimées dans le cadre du traitement du sein gauche, en simulant différentes topologies réalistes d’artères coronaires dans un unique thorax et en évaluant les doses, pour une balistique donnée avec et sans irradiation de la chaîne mammaire interne. La variabilité inter-Topologique de la dose moyenne à l’artère coronaire la plus irradiée, l’interventriculaire antérieure, a été estimée à respectivement 35%et 19% avec et sans irradiation de la chaîne mammaire interne tandis qu’avec la dose aux 2% du volume de l’artère interventriculaire les plus irradiés, cette variabilité est respectivement de 76% et 49%.Enfin, l’ordre de grandeur des écarts entre des mesures par films radiochromiques et des calculs de dose du système de planification de traitement ISOgray en bordure de champ et hors du champ a été évalué pour des configurations simple (fantôme physique homogène parallélépipédique, champ carré ouvert) et complexe (fantôme physique anthropomorphe avec hétérogénéités, faisceaux tangentiels rectangulaires avec filtres en coin). Ces écarts sont jugés significatifs essentiellement en bordure de champ quelle que soit la configuration<br>Cardiovascular diseases following radiotherapy are major secondary late effects raising questions among the scientific community, especially regarding the dose-Effect relationship and confounding risk factors (chemotherapy, cholesterolemia, age at treatment, blood pressure,…). Post-Radiation coronary diseases are one of the main causes of cardiac morbidity. Some approximations are made when coronary doses due to radiotherapy are estimated, especially regarding the morphology. For retrospective studies with old medical records, only radiographs are usually available with sometimes some contours made with a simulator. For recent medical records, CT scans displaying the anatomy in 3D are used for radiotherapy simulation but do not allow the coronary artery visualization due to low resolution and contrast. Currently, coronary doses are barely assessed in clinical practice, and when it is done, anatomical prior knowledge is generally used. This thesis proposes an original approach based on hybrid computational phantoms to study coronary artery doses following radiotherapy for left-Side breast cancer and Hodgkin lymphoma.During the thesis, a method inserting hybrid computational phantoms in a DICOM format into the treatment planning system has been developed and validated. It has been adapted and tested in conditions where only radiographs provide anatomical information, as with old medical records for left side breast radiotherapy.The method has also been adapted to perform precise dose reconstructions to the coronary artery for patients treated for a mediastinal Hodgkin lymphoma and diagnosed with coronary stenosis through a coroscanner. A case-Control study was carried out and the risk of coronary stenosis on a coronary artery segment was assessed to be multiplied by 1.049 at each additional gray on the median dose to the coronary artery segment.For recent medical records, coronary doses uncertainties related to an approach by anatomical prior knowledge segmentation were estimated for a left side breast radiotherapy by simulating different realistic coronary artery topologies in a single representative thorax anatomy and calculating doses due to beam sets, with and without irradiation of the internal mammary chain. The inter-Topology variability of the mean dose to the most irradiated coronary artery, the left descending coronary artery, was assessed to 35% and 19% with and without the internal mammary chain irradiation, respectively; and it was of 76% and 49%, respectively, considering the dose to the most irradiated 2% of this coronary artery volume.Finally, an order of magnitude of the differences between measurments by radiochromic films and dose calculations by the ISOgray treatment planning system in the peripheral field area, has been estimated by for both a simple configuration (parallelepiped physical phantom, homogeneous media, open square field) and a complex configuration (anthropomorphic physical phantom, heterogeneous media, rectangular tangential beams with wedge filter). These differences were judged significant essentially around the geometrical border of the irradiation field for both configuration
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Books on the topic "Computational dosimetry"

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International Commission on Radiation Units and Measurements., ed. Phantoms and computational models in therapy, diagnosis, and protection. International Commission on Radiation Units and Measurements, 1992.

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Computational Methods in Nuclear Radiation Shielding and Dosimetry. Nova Science Publishers, Incorporated, 2020.

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Mann, Kulwinder Singh. Computational Methods in Nuclear Radiation Shielding and Dosimetry. Nova Science Publishers, Incorporated, 2020.

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Poljak, Dragan, and Mario Cvetkovic. Human Interaction with Electromagnetic Fields: Computational Models in Dosimetry. Elsevier Science & Technology, 2019.

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Poljak, Dragan, and Mario Cvetkovic. Human Interaction with Electromagnetic Fields: Computational Models in Dosimetry. Elsevier Science & Technology Books, 2019.

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Book chapters on the topic "Computational dosimetry"

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Roskoff, Nathan J., Alireza Haghighat, and Valerio Mascolino. "Experimental and Computational Validation of RAPID." In Reactor Dosimetry: 16th International Symposium. ASTM International, 2018. http://dx.doi.org/10.1520/stp160820170094.

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Nordlund, Markus, and Arkadiusz K. Kuczaj. "Aerosol Dosimetry Modeling Using Computational Fluid Dynamics." In Methods in Pharmacology and Toxicology. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2778-4_16.

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Nigg, D. W., C. A. Wemple, F. J. Wheeler, D. E. Wessol, J. C. Yanch, and C. D. Scoville. "Computational Dosimetry for Boron Neutron Capture Synovectomy." In Frontiers in Neutron Capture Therapy. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1285-1_177.

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Weldy, James B., and Jack S. Brenizer. "Computational Dosimetry of BNCT for Breast Cancer Treatment." In Cancer Neutron Capture Therapy. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-9567-7_71.

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Altalahmeh, Lamis Z. M., Sanaa A. El-Benhawy, Enayat I. Fahmy, Sanaa G. Alkhatib, Muntaser S. Ahmad, and Kawther Faisal Amawi. "Evaluation of High-Resolution CT-Based Dosimetry and Radiation Cancer Risk in COVID-19 Patients." In Studies in Computational Intelligence. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-74220-0_17.

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Kumada, H., Y. Torii, K. Saito, et al. "The Development of a Computational Dosimetry System for BNCT at JAERI." In Frontiers in Neutron Capture Therapy. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1285-1_87.

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Ferreira, Paulo, Francisco P. M. Oliveira, Rui Parafita, et al. "Voxel-Based Computational Tools Help Liver Dosimetry Calculations of Multiple (External and Internal) Radiation Therapies." In VipIMAGE 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32040-9_22.

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Xu, X. "Computational Phantoms for Radiation Dosimetry." In Handbook of Anatomical Models for Radiation Dosimetry. Taylor & Francis, 2009. http://dx.doi.org/10.1201/ebk1420059793-c1.

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Lee, Choonsik, and Chan Kim. "Korean Computational Phantoms." In Handbook of Anatomical Models for Radiation Dosimetry. Taylor & Francis, 2009. http://dx.doi.org/10.1201/ebk1420059793-c10.

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Saito, Kimiaki, Kaoru Sato, Sakae Kinase, and Tomoaki Nagaoka. "Japanese Computational Phantoms." In Handbook of Anatomical Models for Radiation Dosimetry. Taylor & Francis, 2009. http://dx.doi.org/10.1201/ebk1420059793-c9.

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Conference papers on the topic "Computational dosimetry"

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De Borre, Eline, and Arno Thielens. "Dosimetry of Electromagnetic Exposure of Aedes Aegypti Aquatic Life Stage." In 2025 International Applied Computational Electromagnetics Society Symposium (ACES). IEEE, 2025. https://doi.org/10.23919/aces66556.2025.11052596.

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Faraone, A., G. Bit-Babik, P. Russo, A. De Leo, V. Mariani Primiani, and V. De Santis. "Computational RF Dosimetry of Rodents Cohorts in a Realistic Reverberation Chambers at 900 MHz." In 2024 International Symposium on Electromagnetic Compatibility – EMC Europe. IEEE, 2024. http://dx.doi.org/10.1109/emceurope59828.2024.10722392.

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Lee, Yi-Kang, François-Xavier Hugot, and Yue Jin. "New Route in TRIPOLI-4® for Radiation Dosimetry Calculations Using ICRP 110 Voxel Phantoms." In Mathematics and Computation 2021. American Nuclear Society, 2021. https://doi.org/10.13182/xyz-33845.

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Nikezić, Dragoslav, and Dragana Krastić. "COMPUTATIONAL DOSIMETRY- INTERNATIONAL COMPARISON OF DIFFERENT SIMULATIONAL SOFTWARE WITHIN EURADOS ORGANISATION 2021ICCBIKG (2021)." In 1st INTERNATIONAL Conference on Chemo and BioInformatics. Institute for Information Technologies, University of Kragujevac,, 2021. http://dx.doi.org/10.46793/iccbi21.026n.

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Abstract:
EURADOS, European Radiation Dosimetry Group defined six tasks in computational dosimetry. All tasks were about dose calculation in voxelized human phantoms in various irradiation scenarios. Authors of this work have been involved in all given tasks and send their solutions to the organizer. International comparison of presented tasks has shown some difference between different software used in calculations.
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Nagaoka, Tomoaki, and Soichi Watanabe. "Personalized computational models in human anatomy for electromagnetic dosimetry." In the 4th International Symposium. ACM Press, 2011. http://dx.doi.org/10.1145/2093698.2093750.

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Laakso, Ilkka. "Computational Dosimetry at Low Frequencies: Recent Progress and Open Issues." In 2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE. IEEE, 2020. http://dx.doi.org/10.1109/emceurope48519.2020.9245772.

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Faulkner, Matthew, and Lucia Florescu. "Optical-CT with Incomplete Data for Applications to Radiation Dosimetry." In Computational Optical Sensing and Imaging. OSA, 2019. http://dx.doi.org/10.1364/cosi.2019.cth1a.3.

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Wang, Dezhi, Nahian I. Hasan, and Luis J. Gomez. "Fast Computational Dosimetry of Transcranial Electric Stimulation Using Probabilistic Matrix Decomposition." In 2023 International Applied Computational Electromagnetics Society Symposium (ACES). IEEE, 2023. http://dx.doi.org/10.23919/aces57841.2023.10114783.

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Nagaoka, Tomoaki. "Shape-deformable models for computational electromagnetic dosimetry of a human body." In AFRICON 2013. IEEE, 2013. http://dx.doi.org/10.1109/afrcon.2013.6757591.

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Giunzioni, Viviana, Giuseppe Ciacco, Clément Henry, Adrien Merlini, and Francesco P. Andriulli. "Linear-in-Complexity Computational Strategies for Modeling and Dosimetry at TeraHertz." In 2023 IEEE Conference on Antenna Measurements and Applications (CAMA). IEEE, 2023. http://dx.doi.org/10.1109/cama57522.2023.10352703.

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Reports on the topic "Computational dosimetry"

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Siebert, B. R. L., and R. H. Thomas. Computational dosimetry. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/221029.

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